I’ve always had a fascination with the way information is acquired and process. Reading back through the history of this site, you can see this tendency towards more fanciful thinking, e.g. GPGPU assisted network analytics, future storage systems using Torrenza-style processing. What has once been theory has made its way into the realm of praxis; looking no further than ICML 2015, for example, to see the forays into DML that nVidia is making with their GPUs. And on the story goes. Having said all this, there are elements of data, of data networking, of data processing, which, to date, have NOT gleaned all the benefits of this type of acceleration. To that end, what I am going to attempt to posit today is an area where Neural Networking (or at least the benefits therein) can be usefully applied to an area interacted with every single nanosecond of every day: the network.